Hello! I'm Devesh.
Hello! I'm Devesh.
I study pathways toward desirable futures of work. In one stream, I focus on the impact of AI on work and organizations, and explore the prospect of 'augmenting' work with AI. In a second stream, I focus on skilling and workforce development, particularly on the role of labor market intermediaries in helping structurally-disadvantaged workers enter and build sustainable careers in growth industries. My doctoral work is supported by a Stanford Graduate Fellowship, and a Research, Action, and Impact through Strategic Engagement (RAISE) Doctoral Fellowship.
Before Stanford, I worked in Singapore at the NUS Business School and the Lee Kuan Yew Centre for Innovative Cities, where I studied various topics related to the future of work, AI fairness and trustworthiness, and algorithmic management. I hold an M.A. in Philosophy, and a B.Eng. (Hons.) in Mechanical Engineering, both from the National University of Singapore.
I primarily use qualitative/ethnographic methods, and work at the intersections of organization studies, sociology of work, and science & technology studies. My research has been published in leading journals across management, philosophy, and human-computer interaction: including the Academy of Management Annals, Philosophy & Technology, Minds and Machines, ACM FAccT, and the International Journal of Human-Computer Interaction.